Supplementary file 3_Digital affordances of AI chatbots in nursing education: a systematic review of learning gains and gaps in the evidence.docx is a 39.7 KB document authored by Shuling Wei, summarizing a systematic review of 25 studies. The review evaluates the digital affordances of AI chatbots in nursing education and their relationship to affective, behavioral, and cognitive learning gains. The file was last updated on April 24, 2026.
Use Cases
- Analyze reported digital affordances like assistance provision and personalization based on the systematic review findings.
- Evaluate the distribution of learning gains (cognitive, affective, behavioral) across studies.
- Identify gaps in empirical support for affordances like facilitation and ensuring privacy.
- Assess the geographical distribution and methodological characteristics (sample size, duration) of the reviewed studies.
Strengths
- Summarizes findings from 25 identified studies.
- Provides a clear taxonomy of learning gains (affective, behavioral, cognitive).
- Lists specific digital affordances reported (e.g., assistance provision, personalization).
- Identifies four affordances lacking empirical support.
Limitations
- The dataset is a single 39.7 KB document, which suggests limited scope.
- Row count and column-level documentation are unknown.
- The description notes that evidence for certain learning gains remains inconclusive.
Provenance
- Source
- figshare
- Collection Method
- Systematic review employing affordance theory.
- Freshness
- Last updated 2026-04-24 04:23:42
- Geography
- Studies are mainly in Asia.